Unsupervised clustering to identify jury demographics with varying preferences

Keyphrases

• Unsupervised Clustering 100%
• Jury Members 100%
• K-means 50%
• Clustering Algorithm 50%
• Preference Modeling 50%
• Product Sound 50%
• Number of Subgroups 50%
• Jurors 50%
• Ward Clustering 50%
• Voting Patterns 50%
• Marketing Team 50%

Computer Science

• Target Audience 100%
• Clustering Algorithm 100%
• K-Means Clustering 100%
• Preference Model 100%